Détail de l'auteur
Auteur et al. |
Documents disponibles écrits par cet auteur (2644)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Titre : Robotics, AI, and humanity : Science, ethics, and policy Type de document : Monographie Auteurs : Joachim Von Braun, Éditeur scientifique ; Margaret S. Archer, Éditeur scientifique ; Gregory M. Reichberg, Éditeur scientifique ; et al., Auteur Editeur : Springer Nature Année de publication : 2020 ISBN/ISSN/EAN : 978-3-030-54173-6 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] apprentissage automatique
[Termes IGN] cerveau
[Termes IGN] classification à base de connaissances
[Termes IGN] cognition
[Termes IGN] conscience
[Termes IGN] émotion
[Termes IGN] éthique
[Termes IGN] finance
[Termes IGN] formation
[Termes IGN] navigation autonome
[Termes IGN] robotiqueRésumé : (éditeur) This open access book examines recent advances in how artificial intelligence (AI) and robotics have elicited widespread debate over their benefits and drawbacks for humanity. The emergent technologies have for instance implications within medicine and health care, employment, transport, manufacturing, agriculture, and armed conflict. While there has been considerable attention devoted to robotics/AI applications in each of these domains, a fuller picture of their connections and the possible consequences for our shared humanity seems needed. This volume covers multidisciplinary research, examines current research frontiers in AI/robotics and likely impacts on societal well-being, human – robot relationships, as well as the opportunities and risks for sustainable development and peace. The attendant ethical and religious dimensions of these technologies are addressed and implications for regulatory policies on the use and future development of AI/robotics technologies are elaborated. Note de contenu : I- Foundational issues in AI and robotics
II- AI and robotics changing the future of society: Work, farming, services, and poverty
III- Robotics, AI, and militarized conflict
IV- AI/robot–human interactions: Regulatory and ethical implicationsNuméro de notice : 28612 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.1007/978-3-030-54173-6 En ligne : https://doi.org/10.1007/978-3-030-54173-6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99478 A spatially explicit database of wind disturbances in European forests over the period 2000–2018 / Giovanni Forzieri in Earth System Science Data, vol 12 n° 1 (January 2020)
[article]
Titre : A spatially explicit database of wind disturbances in European forests over the period 2000–2018 Type de document : Article/Communication Auteurs : Giovanni Forzieri, Auteur ; Matteo Pecchi, Auteur ; Marco Girardello, Auteur ; Achille Mauri, Auteur ; Marcus Klaus, Auteur ; Christo Nikolov, Auteur ; Marius Rüetschi, Auteur ; Barry Gardiner, Auteur ; Julian Tomaštík, Auteur ; David Small, Auteur ; Constantin Nistor, Auteur ; Donatas Jonikavičius, Auteur ; Jonathan Spinoni, Auteur ; Luc Feyen, Auteur ; Francesca Giannetti, Auteur ; Rinaldo Comino, Auteur ; Alessandro Wolynski, Auteur ; Francesco Pirotti, Auteur ; Fabio Maistrelli, Auteur ; Ionut Savulescu, Auteur ; Stéphanie Wurpillot , Auteur ; et al., Auteur Année de publication : 2020 Projets : 3-projet - voir note / Article en page(s) : pp 257 - 276 Note générale : bibliographie
This research has been supported by the European Commission, Joint Research Centre (project FOREST@RISK).Langues : Anglais (eng) Descripteur : [Termes IGN] base de données localisées
[Termes IGN] capital sur pied
[Termes IGN] données vectorielles
[Termes IGN] écosystème forestier
[Termes IGN] Europe (géographie politique)
[Termes IGN] forêt
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] perturbation écologique
[Termes IGN] tempête
[Termes IGN] tempête Klaus de 2009
[Termes IGN] tempête Lothar de 1999
[Termes IGN] tempête Xynthia de 2010
[Termes IGN] vent
[Termes IGN] vingt-et-unième siècle
[Vedettes matières IGN] ForesterieMots-clés libres : FORWIND Résumé : (auteur) Strong winds may uproot and break trees and represent a major natural disturbance for European forests. Wind disturbances have intensified over the last decades globally and are expected to further rise in view of the effects of climate change. Despite the importance of such natural disturbances, there are currently no spatially explicit databases of wind-related impact at a pan-European scale. Here, we present a new database of wind disturbances in European forests (FORWIND). FORWIND is comprised of more than 80 000 spatially delineated areas in Europe that were disturbed by wind in the period 2000–2018 and describes them in a harmonized and consistent geographical vector format. The database includes all major windstorms that occurred over the observational period (e.g. Gudrun, Kyrill, Klaus, Xynthia and Vaia) and represents approximately 30 % of the reported damaging wind events in Europe. Correlation analyses between the areas in FORWIND and land cover changes retrieved from the Landsat-based Global Forest Change dataset and the MODIS Global Disturbance Index corroborate the robustness of FORWIND. Spearman rank coefficients range between 0.27 and 0.48 (p value Numéro de notice : A2020-874 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/essd-12-257-2020 Date de publication en ligne : 10/02/2020 En ligne : https://doi.org/10.5194/essd-12-257-2020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99655
in Earth System Science Data > vol 12 n° 1 (January 2020) . - pp 257 - 276[article]Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods / Wolfgang B. Hamer in ISPRS International journal of geo-information, Vol 9 n° 1 (January 2020)
[article]
Titre : Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods Type de document : Article/Communication Auteurs : Wolfgang B. Hamer, Auteur ; Tim Birr, Auteur ; Joseph-Alexander Verreet, Auteur ; et al., Auteur Année de publication : 2020 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] Allemagne
[Termes IGN] apprentissage automatique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] diffusion spatiale
[Termes IGN] données localisées
[Termes IGN] données météorologiques
[Termes IGN] géostatistique
[Termes IGN] maladie phytosanitaire
[Termes IGN] modèle de simulation
[Termes IGN] modèle dynamique
[Termes IGN] rendement agricole
[Termes IGN] risque environnemental
[Termes IGN] temps réelRésumé : (auteur) Real-time identification of the occurrence of dangerous pathogens is of crucial importance for the rapid execution of countermeasures. For this purpose, spatial and temporal predictions of the spread of such pathogens are indispensable. The R package papros developed by the authors offers an environment in which both spatial and temporal predictions can be made, based on local data using various deterministic, geostatistical regionalisation, and machine learning methods. The approach is presented using the example of a crops infection by fungal pathogens, which can substantially reduce the yield if not treated in good time. The situation is made more difficult by the fact that it is particularly difficult to predict the behaviour of wind-dispersed pathogens, such as powdery mildew (Blumeria graminis f. sp. tritici). To forecast pathogen development and spatial dispersal, a modelling process scheme was developed using the aforementioned R package, which combines regionalisation and machine learning techniques. It enables the prediction of the probability of yield- relevant infestation events for an entire federal state in northern Germany at a daily time scale. To run the models, weather and climate information are required, as is knowledge of the pathogen biology. Once fitted to the pathogen, only weather and climate information are necessary to predict such events, with an overall accuracy of 68% in the case of powdery mildew at a regional scale. Thereby, 91% of the observed powdery mildew events are predicted Numéro de notice : A2020-116 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9010044 Date de publication en ligne : 15/01/2020 En ligne : https://doi.org/10.3390/ijgi9010044 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94723
in ISPRS International journal of geo-information > Vol 9 n° 1 (January 2020)[article]
Titre : Spationomy : Spatial exploration of economic data and methods of interdisciplinary analytics Type de document : Guide/Manuel Auteurs : Vit Pászto, Éditeur scientifique ; Carsten Jürgens, Éditeur scientifique ; Polona Tominc, Éditeur scientifique ; et al., Auteur Editeur : Springer Nature Année de publication : 2020 Importance : 333p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-26626-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] acquisition de données
[Termes IGN] analyse multicritère
[Termes IGN] analyse spatiale
[Termes IGN] données socio-économiques
[Termes IGN] exploration de données géographiques
[Termes IGN] finance
[Termes IGN] géographie économique
[Termes IGN] microéconomie
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] recherche interdisciplinaire
[Termes IGN] régression logistique
[Termes IGN] système d'information géographique
[Termes IGN] veille économiqueRésumé : (éditeur) This open access book is based on 'Spationomy – Spatial Exploration of Economic Data', an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works. Numéro de notice : 25973 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Manuel de cours DOI : 10.1007/978-3-030-26626-4 En ligne : https://doi.org/10.1007/978-3-030-26626-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96629
Titre : Sustainable land management in a European context : A co-design approach Type de document : Monographie Auteurs : Thomas Weith, Éditeur scientifique ; Tim Barkmann, Auteur ; Nadin Gaasch, Éditeur scientifique ; et al., Éditeur scientifique Editeur : Springer Nature Année de publication : 2020 Importance : 347 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-50841-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Ecologie
[Termes IGN] aménagement durable
[Termes IGN] aménagement rural
[Termes IGN] changement d'utilisation du sol
[Termes IGN] écosystème
[Termes IGN] Europe (géographie politique)
[Termes IGN] géosciences
[Termes IGN] gestion foncière
[Termes IGN] gestion forestière durable
[Termes IGN] paysage urbain
[Termes IGN] politique communautaire
[Termes IGN] recherche interdisciplinaire
[Termes IGN] sciences de l'environnement
[Termes IGN] surface cultivée
[Termes IGN] surveillance de l'urbanisationRésumé : (éditeur) This open access book presents and discusses current issues and innovative solution approaches for land management in a European context. Manifold sustainability issues are closely interconnected with land use practices. Throughout the world, we face increasing conflict over the use of land as well as competition for land. Drawing on experience in sustainable land management gained from seven years of the FONA programme (Research for Sustainable Development, conducted under the auspices of the German Federal Ministry of Education and Research), the book stresses and highlights co-design processes within the "co-creation of knowledge", involving collaboration in transdisciplinary research processes between academia and other stakeholders. The book begins with an overview of the current state of land use practices and the subsequent need to manage land resources more sustainably. New system solutions and governance approaches in sustainable land management are presented from a European perspective on land use. The volume also addresses how to use new modes of knowledge transfer between science and practice. New perspectives in sustainable land management and methods of combining knowledge and action are presented to a broad readership in land system sciences and environmental sciences, social sciences and geosciences. Note de contenu : 1- Land-use: State and drivers in Europe
2- Co-production of knowledge
3- Co-evolution: New system solutions and governance
4- OutlookNuméro de notice : 25987 Affiliation des auteurs : non IGN Thématique : FORET Nature : Recueil / ouvrage collectif DOI : 10.1007/978-3-030-50841-8 En ligne : https://doi.org/10.1007/978-3-030-50841-8 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96745 PermalinkPermalinkCombining thermal imaging with photogrammetry of an active volcano using UAV: an example from Stromboli, Italy / Zoë E. Wakeford in Photogrammetric record, vol 34 n° 168 (December 2019)PermalinkExtracting urban landmarks from geographical datasets using a random forests classifier / Yue Lin in International journal of geographical information science IJGIS, vol 33 n° 12 (December 2019)PermalinkImpact of deadwood decomposition on soil organic carbon sequestration in Estonian and Polish forests / Ewa Blonska in Annals of Forest Science, Vol 76 n° 4 (December 2019)PermalinkInside the ice shelf: using augmented reality to visualise 3D lidar and radar data of Antarctica / Alexandra L. Boghosian in Photogrammetric record, vol 34 n° 168 (December 2019)PermalinkA low‐cost open‐source workflow to generate georeferenced 3D SfM photogrammetric models of rocky outcrops / Laurent Froideval in Photogrammetric record, vol 34 n° 168 (December 2019)PermalinkNovel adaptive histogram trend similarity approach for land cover change detection by using bitemporal very-high-resolution remote sensing images / Zhi Yong Lv in IEEE Transactions on geoscience and remote sensing, vol 57 n° 12 (December 2019)PermalinkPhosphorus availability in relation to soil properties and forest productivity in Pinus sylvestris L. plantations / Teresa Bueis in Annals of Forest Science, Vol 76 n° 4 (December 2019)PermalinkAccurate modelling of canopy traits from seasonal Sentinel-2 imagery based on the vertical distribution of leaf traits / Tawanda W. Gara in ISPRS Journal of photogrammetry and remote sensing, vol 157 (November 2019)PermalinkChinese and Russian Language Equivalents of the IAU Gazetteer of Planetary Nomenclature: an overview of planetary toponym localization methods / Henrik Hargitai in Cartographic journal (the), Vol 56 n° 4 (November 2019)PermalinkLunar Laser Ranging: a tool for general relativity, lunar geophysics and Earth science / Jurgen Müller in Journal of geodesy, vol 93 n°11 (November 2019)PermalinkPartial GNSS ambiguity resolution in coordinate domain / Shengyue Ji in Survey review, vol 51 n° 369 (November 2019)PermalinkSig-NMS-based faster R-CNN combining transfer learning for small target detection in VHR optical remote sensing imagery / Ruchan Dong in IEEE Transactions on geoscience and remote sensing, vol 57 n° 11 (November 2019)PermalinkSpace test of the Equivalence Principle: first results of the MICROSCOPE mission / Pierre Touboul in Classical and Quantum Gravity, vol 36 n° 22 (November 2019)PermalinkSystematic errors in SLR data and their impact on the ILRS products / Vincenza Luceri in Journal of geodesy, vol 93 n°11 (November 2019)PermalinkTélédétection des habitats insulaires ligériens par drone : Retour d’expérience sur les îles de Mareau-aux-Prés (Loiret) / Hilaire Martin in Revue forestière française, vol 71 n° 6 (2019)PermalinkLa Terre en 4D : apport des séries temporelles de modèles numériques d'élévation par photogrammétrie spatiale pour l'étude de la surface terrestre / César Deschamps-Berger in Revue Française de Photogrammétrie et de Télédétection, n° 221 (novembre 2019)PermalinkThe influence of sampling design on spatial data quality in a geographic citizen science project / Greg Brown in Transactions in GIS, Vol 23 n° 6 (November 2019)PermalinkUtilisation des SIG et de la télédétection pour la cartographie de la susceptibilité aux mouvements d'instabilité de versant dans l'Ouest montagneux de la Côte d'Ivoire / Boyossoro Hélène Kouadio in Revue Française de Photogrammétrie et de Télédétection, n° 221 (novembre 2019)PermalinkA web-based integrated modeling and simulation method for forest growth research / Zaiyang Ma in Earth and space science, vol 6 n° 11 (November 2019)PermalinkResidences information extraction from Landsat imagery using the multi-parameter decision tree method / Yujie Yang in Geocarto international, vol 34 n° 14 ([30/10/2019])PermalinkEstimating pasture biomass and canopy height in brazilian savanna using UAV photogrammetry / Juliana Batistoti in Remote sensing, Vol 11 n° 20 (October-2 2019)PermalinkAccurate detection of built-up areas from high-resolution remote sensing imagery using a fully convolutional network / Yihua Tan in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)PermalinkA building label placement method for 3D visualizations based on candidate label evaluation and selection / Jiangfeng She in International journal of geographical information science IJGIS, vol 33 n° 10 (October 2019)PermalinkA CNN-based subpixel level DSM generation approach via single image super-resolution / Yongjun Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)PermalinkHow do trees respond to species mixing in experimental compared to observational studies? / Stephan Kambach in Ecology and evolution, vol 9 n° 19 (October 2019)PermalinkIntroducing a vertical land motion model for improving estimates of sea level rates derived from tide gauge records affected by earthquakes / Anna Klos in GPS solutions, vol 23 n° 4 (October 2019)PermalinkKalman-filter-based undifferenced cycle slip estimation in real-time precise point positioning / Pan Li in GPS solutions, vol 23 n° 4 (October 2019)PermalinkMeasuring phase scintillation at different frequencies with conventional GNSS receivers operating at 1 Hz / Viet Khoi Nguyen in Journal of geodesy, vol 93 n°10 (October 2019)PermalinkMulti-sensor prediction of Eucalyptus stand volume: A support vector approach / Guilherme Silverio Aquino de Souza in ISPRS Journal of photogrammetry and remote sensing, vol 156 (October 2019)PermalinkPerformance evaluation of real-time global ionospheric maps provided by different IGS analysis centers / Xiaodong Ren in GPS solutions, vol 23 n° 4 (October 2019)PermalinkRegional integration of long-term national dense GNSS network solutions / A. Kenyeres in GPS solutions, vol 23 n° 4 (October 2019)PermalinkA reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy / Yan Zhou in Transactions in GIS, Vol 23 n° 5 (October 2019)PermalinkRobust multisource remote sensing image registration method based on scene shape similarity / Ming Hao in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)PermalinkSaliency-guided deep neural networks for SAR image change detection / Jie Geng in IEEE Transactions on geoscience and remote sensing, Vol 57 n° 10 (October 2019)PermalinkScene context-driven vehicle detection in high-resolution aerial images / Chao Tao in IEEE Transactions on geoscience and remote sensing, Vol 57 n° 10 (October 2019)PermalinkUnmanned aerial vehicles (UAVs) for monitoring macroalgal biodiversity: comparison of RGB and multispectral imaging sensors for biodiversity assessments / Leigh Tait in Remote sensing, vol 11 n° 19 (October-1 2019)PermalinkMultitemporal Landsat-MODIS fusion for cropland drought monitoring in El Salvador / Nguyen-Thanh Son in Geocarto international, vol 34 n° 12 ([15/09/2019])PermalinkA 4D tomographic ionospheric model to support PPP-RTK / German Olivares-Pulido in Journal of geodesy, vol 93 n° 9 (September 2019)PermalinkAssessing a new velocity field in Greece towards a new semi-kinematic datum / S. Bitharis in Survey review, vol 51 n° 368 (September 2019)PermalinkCombination of GRACE monthly gravity fields on the normal equation level / Ulrich Meyer in Journal of geodesy, vol 93 n° 9 (September 2019)PermalinkUn demi-siècle de topographie à la SNCF / Pierre Lasseur in XYZ, n° 160 (septembre 2019)PermalinkExploring the synergy between Landsat and ASAR towards improving thematic mapping accuracy of optical EO data / Alexander Cass in Applied geomatics, vol 11 n° 3 (September 2019)PermalinkFine-tuning the usability of a crowdsourced indoor navigation system / Kristien Ooms in Cartography and Geographic Information Science, Vol 46 n° 5 (September 2019)Permalink